{"id":"https://openalex.org/W4400114080","doi":"https://doi.org/10.1109/i2mtc60896.2024.10560921","title":"Non-Invasive Assessment for Dynamic Cerebral Autoregulation Based on Near-Field Coupling","display_name":"Non-Invasive Assessment for Dynamic Cerebral Autoregulation Based on Near-Field Coupling","publication_year":2024,"publication_date":"2024-05-20","ids":{"openalex":"https://openalex.org/W4400114080","doi":"https://doi.org/10.1109/i2mtc60896.2024.10560921"},"language":"en","primary_location":{"id":"doi:10.1109/i2mtc60896.2024.10560921","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/i2mtc60896.2024.10560921","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5113124043","display_name":"Ansheng Shao","orcid":"https://orcid.org/0009-0007-7463-1541"},"institutions":[{"id":"https://openalex.org/I50632499","display_name":"Chongqing University of Technology","ror":"https://ror.org/04vgbd477","country_code":"CN","type":"education","lineage":["https://openalex.org/I50632499"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ansheng Shao","raw_affiliation_strings":["School of Pharmacy and Bioengineering, Chongqing University of Technology,Chongqing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Pharmacy and Bioengineering, Chongqing University of Technology,Chongqing,China","institution_ids":["https://openalex.org/I50632499"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100357028","display_name":"Gen Li","orcid":"https://orcid.org/0000-0002-4183-4242"},"institutions":[{"id":"https://openalex.org/I50632499","display_name":"Chongqing University of Technology","ror":"https://ror.org/04vgbd477","country_code":"CN","type":"education","lineage":["https://openalex.org/I50632499"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Gen Li","raw_affiliation_strings":["School of Pharmacy and Bioengineering, Chongqing University of Technology,Chongqing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Pharmacy and Bioengineering, Chongqing University of Technology,Chongqing,China","institution_ids":["https://openalex.org/I50632499"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I50632499"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10378","display_name":"Advanced MRI Techniques and Applications","score":0.9919999837875366,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T10378","display_name":"Advanced MRI Techniques and Applications","score":0.9919999837875366,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.98580002784729,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T14510","display_name":"Medical Imaging and Analysis","score":0.9772999882698059,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/cerebral-autoregulation","display_name":"Cerebral autoregulation","score":0.7533245086669922},{"id":"https://openalex.org/keywords/autoregulation","display_name":"Autoregulation","score":0.6739624738693237},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.46289318799972534},{"id":"https://openalex.org/keywords/coupling","display_name":"Coupling (piping)","score":0.4538123309612274},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.250046044588089},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.1786605417728424},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.16171714663505554},{"id":"https://openalex.org/keywords/blood-pressure","display_name":"Blood pressure","score":0.08732181787490845},{"id":"https://openalex.org/keywords/mechanical-engineering","display_name":"Mechanical engineering","score":0.06314414739608765}],"concepts":[{"id":"https://openalex.org/C84359808","wikidata":"https://www.wikidata.org/wiki/Q13365173","display_name":"Cerebral autoregulation","level":4,"score":0.7533245086669922},{"id":"https://openalex.org/C111774379","wikidata":"https://www.wikidata.org/wiki/Q1364253","display_name":"Autoregulation","level":3,"score":0.6739624738693237},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.46289318799972534},{"id":"https://openalex.org/C131584629","wikidata":"https://www.wikidata.org/wiki/Q4308705","display_name":"Coupling (piping)","level":2,"score":0.4538123309612274},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.250046044588089},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.1786605417728424},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.16171714663505554},{"id":"https://openalex.org/C84393581","wikidata":"https://www.wikidata.org/wiki/Q82642","display_name":"Blood pressure","level":2,"score":0.08732181787490845},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.06314414739608765}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/i2mtc60896.2024.10560921","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/i2mtc60896.2024.10560921","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/2","display_name":"Zero hunger","score":0.5099999904632568}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W1996822547","https://openalex.org/W2772283039","https://openalex.org/W2922200946","https://openalex.org/W3010922151","https://openalex.org/W3203628503","https://openalex.org/W4382047863","https://openalex.org/W4387757719"],"related_works":["https://openalex.org/W2664729653","https://openalex.org/W2314201917","https://openalex.org/W2913395717","https://openalex.org/W2811446807","https://openalex.org/W2177576479","https://openalex.org/W2086441951","https://openalex.org/W3136876934","https://openalex.org/W4319825722","https://openalex.org/W2889948338","https://openalex.org/W4295924926"],"abstract_inverted_index":{"Dynamical":[0],"cerebral":[1,26],"autoregulation":[2],"(dCA)":[3],"plays":[4],"a":[5,91,241],"pivotal":[6],"role":[7],"in":[8,45,57,109,115,165,198,206,213],"the":[9,19,33,52,55,62,68,73,87,103,131,139,143,159,162,179,186,202,229],"clinical":[10],"assessment":[11],"of":[12,35,54,64,161,171,181,204,231],"strokes.":[13],"In":[14,142,209],"this":[15],"study,":[16],"we":[17,71,147,157],"utilized":[18],"Near-Field":[20],"Coupling":[21],"(NFC)":[22],"principle":[23,164],"to":[24,50,106,136,138,233],"monitor":[25],"blood":[27],"flow":[28],"(CBF)":[29],"while":[30],"simultaneously":[31],"synchronizing":[32],"monitoring":[34,65,166,207],"mean":[36],"arterial":[37],"pressure":[38],"(MAP).":[39],"We":[40],"conducted":[41,129],"experiments":[42,210],"involving":[43,211],"changes":[44,114,212],"body":[46,116,214],"position":[47,117,215],"with":[48,67,83,155],"volunteers":[49],"study":[51,238],"feasibility":[53,63,160],"device":[56],"assessing":[58,199,245],"dCA.":[59,208,246],"To":[60,100],"validate":[61],"dCA":[66,76,98,110,135,172],"NFC":[69,88,163,195,205,232],"device,":[70],"compared":[72],"CBF":[74,149],"and":[75,125,151,175,196,224],"indices":[77,173],"obtained":[78],"through":[79],"Transcranial":[80],"Doppler":[81],"(TCD)":[82],"those":[84],"measured":[85],"by":[86],"device.":[89],"Additionally,":[90],"Bland-Altman":[92,169],"consistency":[93,193],"analysis":[94,127,170],"was":[95,128],"performed":[96],"for":[97,123,134,244],"indices.":[99],"further":[101],"confirm":[102],"device's":[104],"capability":[105],"reflect":[107],"differences":[108,183],"at":[111,118,216],"various":[112],"levels,":[113],"different":[119,217],"angles":[120],"were":[121,221],"induced":[122],"volunteers,":[124],"statistical":[126],"on":[130],"time":[132],"required":[133],"return":[137],"initial":[140],"level.":[141],"postural":[144],"change":[145],"experiment,":[146],"capture":[148],"waveforms":[150],"MAP.":[152],"By":[153],"comparing":[154],"TCD,":[156],"validated":[158],"CBF.":[167],"The":[168],"RFx":[174],"rCVR":[176],"indicates":[177],"that":[178],"majority":[180],"measurement":[182],"fall":[184],"within":[185],"95%":[187],"confidence":[188],"interval.":[189],"There":[190],"is":[191],"good":[192],"between":[194],"TCD":[197],"dCA,":[200],"indicating":[201],"practicality":[203],"angles,":[218],"adjustment":[219],"times":[220],"0.6,":[222],"0.8,":[223],"1.2":[225],"minutes,":[226],"respectively,":[227],"suggesting":[228],"potential":[230],"differentiate":[234],"regulatory":[235],"levels.":[236],"This":[237],"has":[239],"provided":[240],"new":[242],"approach":[243]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}